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Found 696 results

  1. Analyzing Machine Data with Splunk MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 2 Hours 38M | 421 MB Genre: eLearning | Language: English Splunk is one of the most u. Today there are more devices generating data than ever before, but making sense of this data is nearly impossible. In this course, Analyzing Machine Data with Splunk, you'll learn foundational knowledge of/gain the ability to utilize Splunk to analyze your devices both in and outside of the data center. First, you will learn how to set up your own Splunk development environment. Next, you'll learn to use Splunk forwarders to send data back to your Splunk development environment. Finally, you'll learn how to move data from Hadoop Distributed File System (HDFS) into Splunk. When you're finished with this course, you will have the skills and knowledge of Splunk needed to analyze your machine data. http://www.nitroflare.com/view/FD80079834D0DEA/Analyzing_Machine_Data_with_Splunk.part1.rar http://www.nitroflare.com/view/EEE626F308996E5/Analyzing_Machine_Data_with_Splunk.part2.rar http://www.nitroflare.com/view/3FE73A983F94EF0/Analyzing_Machine_Data_with_Splunk.part3.rar http://www.nitroflare.com/view/4DC893EC24EEEDF/Analyzing_Machine_Data_with_Splunk.part4.rar http://www.nitroflare.com/view/0C0EC4409F14981/Analyzing_Machine_Data_with_Splunk.part5.rar http://rapidgator.net/file/6781bc502fdf034a37a4198fa813271e/Analyzing_Machine_Data_with_Splunk.part1.rar.html http://rapidgator.net/file/e9750c63f1b154f418274b539e39a311/Analyzing_Machine_Data_with_Splunk.part2.rar.html http://rapidgator.net/file/beff0a85d147ca1f88cfe31464e8e51c/Analyzing_Machine_Data_with_Splunk.part3.rar.html http://rapidgator.net/file/ec4fa1b84bc0b09d4a39cb32cd39e979/Analyzing_Machine_Data_with_Splunk.part4.rar.html http://rapidgator.net/file/c312efe114a9957dc75eed8580992bcb/Analyzing_Machine_Data_with_Splunk.part5.rar.html If you want to support me buy premium account from my link.
  2. AWS Machine Learning by Example MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 1.5 Hours | 237 MB Genre: eLearning | Language: English Take a deeper dive into machine learning with Amazon Web Services (AWS). In this practical course, instructor Jonathan Fernandes helps to familiarize you with common machine learning tasks, demonstrating how to approach each one using key techniques: binary classification, multiclass classification, and regression. Throughout the course, he walks through several examples, using Kaggle datasets for hands-on exploration. Plus, he reviews some essential machine learning concepts and helps to familiarize you with other AWS capabilities, including SageMaker and Deep Learning AMIs. Recommend Download Link Hight Speed | Please Say Thanks Keep Topic Live Uploadgig http://uploadgig.com/file/download/1eefb26871C92066/mg718.AWS.Machine.Learning.by.Example.rar NitroFlare http://nitroflare.com/view/29AFFE1C9AFA26F/mg718.AWS.Machine.Learning.by.Example.rar Rapidgator http://rapidgator.net/file/ffc67107ee37d3ba171d1ccd7e711a1d/mg718.AWS.Machine.Learning.by.Example.rar.html
  3. Helen Driggs - Metalsmith Essentials: Machine Finishing Jewelry 180426 Metalsmith Essentials: Machine Finishing Jewelry .AVI, XviD, 1371 kbps, 720x416 | English, AC3, 192 kbps, 2 Ch | 1 hr 19 mins | 898 MB Instructor: Helen I. Driggs Join artist and experienced metalsmith Helen I. Driggs in 9 watch-and-learn lessons for everything you need to know to complete your jewelry pieces with the quick use of equipment. Finish your jewelry fast . . . with helpful equipment! Perfect your metal jewelry with a comprehensive lesson in machine finishing. Join artist and experienced metalsmith Helen I. Driggs in 9 watch-and-learn lessons for everything you need to know to complete your jewelry pieces with the quick use of equipment. Expand your jewelry-making repertoire with how-tos for finishing metal with a tumbler, Dremel or flex-shaft, polishing arbor, and more-plus discover which technique to use for a variety of different pieces to achieve the look you desire. Enter a new era in your jewelry designs as you: Get expert tips to stay safe and use the equipment properly. Uncover expert advice on what pieces should be tumbled and what should not. Incorporate a variety of finishes onto one piece for intriguing contrast. Achieve a mirror finish on big pieces with the use of the polishing arbor. Learn the variety of benefits and uses a flex-shaft has to offer. Discover the right steps to avoid cross-contamination of materials and metals. And much, much more! More Info http://www.interweave.com/store/metalsmith-essentials-machine-finishing-jewelry Buy a premium to download file with fast speed thanks Rapidgator.net http://rapidgator.net/file/390a123c53b55c083d737a978036d83f/8xo4j.H.D.M.E.M.F.J.part01.rar.html http://rapidgator.net/file/4f0ca04770f2b184733bf646219805b9/8xo4j.H.D.M.E.M.F.J.part02.rar.html http://rapidgator.net/file/42b0e3507bccfadd86a75389cd81cb64/8xo4j.H.D.M.E.M.F.J.part03.rar.html http://rapidgator.net/file/6aecb0267bfd32b1a363d23fd80ee63d/8xo4j.H.D.M.E.M.F.J.part04.rar.html http://rapidgator.net/file/8a22cfbfd5d161b68343965f3df772e7/8xo4j.H.D.M.E.M.F.J.part05.rar.html http://rapidgator.net/file/fb0be0010ebc20887e479c4abc9f52af/8xo4j.H.D.M.E.M.F.J.part06.rar.html http://rapidgator.net/file/29b703db156af31afc92d2ce0ba4b088/8xo4j.H.D.M.E.M.F.J.part07.rar.html http://rapidgator.net/file/004c46ac17bd9854a02b7dc4b95f929e/8xo4j.H.D.M.E.M.F.J.part08.rar.html http://rapidgator.net/file/2de8c088a0341d6ed4be71b4a7c3a433/8xo4j.H.D.M.E.M.F.J.part09.rar.html alfafile.net http://alfafile.net/file/vEDJ/8xo4j.H.D.M.E.M.F.J.part01.rar http://alfafile.net/file/vEDy/8xo4j.H.D.M.E.M.F.J.part02.rar http://alfafile.net/file/vEDE/8xo4j.H.D.M.E.M.F.J.part03.rar http://alfafile.net/file/vEDn/8xo4j.H.D.M.E.M.F.J.part04.rar http://alfafile.net/file/vEDq/8xo4j.H.D.M.E.M.F.J.part05.rar http://alfafile.net/file/vED6/8xo4j.H.D.M.E.M.F.J.part06.rar http://alfafile.net/file/vEDP/8xo4j.H.D.M.E.M.F.J.part07.rar http://alfafile.net/file/vEDp/8xo4j.H.D.M.E.M.F.J.part08.rar http://alfafile.net/file/vED7/8xo4j.H.D.M.E.M.F.J.part09.rar
  4. Helen Driggs - Metalsmith Essentials: Machine Finishing Jewelry 180426 Metalsmith Essentials: Machine Finishing Jewelry .AVI, XviD, 1371 kbps, 720x416 | English, AC3, 192 kbps, 2 Ch | 1 hr 19 mins | 898 MB Instructor: Helen I. Driggs Join artist and experienced metalsmith Helen I. Driggs in 9 watch-and-learn lessons for everything you need to know to complete your jewelry pieces with the quick use of equipment. Finish your jewelry fast . . . with helpful equipment! Perfect your metal jewelry with a comprehensive lesson in machine finishing. Join artist and experienced metalsmith Helen I. Driggs in 9 watch-and-learn lessons for everything you need to know to complete your jewelry pieces with the quick use of equipment. Expand your jewelry-making repertoire with how-tos for finishing metal with a tumbler, Dremel or flex-shaft, polishing arbor, and more-plus discover which technique to use for a variety of different pieces to achieve the look you desire. Enter a new era in your jewelry designs as you: Get expert tips to stay safe and use the equipment properly. Uncover expert advice on what pieces should be tumbled and what should not. Incorporate a variety of finishes onto one piece for intriguing contrast. Achieve a mirror finish on big pieces with the use of the polishing arbor. Learn the variety of benefits and uses a flex-shaft has to offer. Discover the right steps to avoid cross-contamination of materials and metals. And much, much more! More Info http://www.interweave.com/store/metalsmith-essentials-machine-finishing-jewelry Buy a premium to download file with fast speed thanks Rapidgator.net http://rapidgator.net/file/390a123c53b55c083d737a978036d83f/8xo4j.H.D.M.E.M.F.J.part01.rar.html http://rapidgator.net/file/4f0ca04770f2b184733bf646219805b9/8xo4j.H.D.M.E.M.F.J.part02.rar.html http://rapidgator.net/file/42b0e3507bccfadd86a75389cd81cb64/8xo4j.H.D.M.E.M.F.J.part03.rar.html http://rapidgator.net/file/6aecb0267bfd32b1a363d23fd80ee63d/8xo4j.H.D.M.E.M.F.J.part04.rar.html http://rapidgator.net/file/8a22cfbfd5d161b68343965f3df772e7/8xo4j.H.D.M.E.M.F.J.part05.rar.html http://rapidgator.net/file/fb0be0010ebc20887e479c4abc9f52af/8xo4j.H.D.M.E.M.F.J.part06.rar.html http://rapidgator.net/file/29b703db156af31afc92d2ce0ba4b088/8xo4j.H.D.M.E.M.F.J.part07.rar.html http://rapidgator.net/file/004c46ac17bd9854a02b7dc4b95f929e/8xo4j.H.D.M.E.M.F.J.part08.rar.html http://rapidgator.net/file/2de8c088a0341d6ed4be71b4a7c3a433/8xo4j.H.D.M.E.M.F.J.part09.rar.html alfafile.net http://alfafile.net/file/vEDJ/8xo4j.H.D.M.E.M.F.J.part01.rar http://alfafile.net/file/vEDy/8xo4j.H.D.M.E.M.F.J.part02.rar http://alfafile.net/file/vEDE/8xo4j.H.D.M.E.M.F.J.part03.rar http://alfafile.net/file/vEDn/8xo4j.H.D.M.E.M.F.J.part04.rar http://alfafile.net/file/vEDq/8xo4j.H.D.M.E.M.F.J.part05.rar http://alfafile.net/file/vED6/8xo4j.H.D.M.E.M.F.J.part06.rar http://alfafile.net/file/vEDP/8xo4j.H.D.M.E.M.F.J.part07.rar http://alfafile.net/file/vEDp/8xo4j.H.D.M.E.M.F.J.part08.rar http://alfafile.net/file/vED7/8xo4j.H.D.M.E.M.F.J.part09.rar
  5. Helen Driggs - Metalsmith Essentials: Machine Finishing Jewelry 180426 Metalsmith Essentials: Machine Finishing Jewelry .AVI, XviD, 1371 kbps, 720x416 | English, AC3, 192 kbps, 2 Ch | 1 hr 19 mins | 898 MB Instructor: Helen I. Driggs Join artist and experienced metalsmith Helen I. Driggs in 9 watch-and-learn lessons for everything you need to know to complete your jewelry pieces with the quick use of equipment. Finish your jewelry fast . . . with helpful equipment! Perfect your metal jewelry with a comprehensive lesson in machine finishing. Join artist and experienced metalsmith Helen I. Driggs in 9 watch-and-learn lessons for everything you need to know to complete your jewelry pieces with the quick use of equipment. Expand your jewelry-making repertoire with how-tos for finishing metal with a tumbler, Dremel or flex-shaft, polishing arbor, and more-plus discover which technique to use for a variety of different pieces to achieve the look you desire. Enter a new era in your jewelry designs as you: Get expert tips to stay safe and use the equipment properly. Uncover expert advice on what pieces should be tumbled and what should not. Incorporate a variety of finishes onto one piece for intriguing contrast. Achieve a mirror finish on big pieces with the use of the polishing arbor. Learn the variety of benefits and uses a flex-shaft has to offer. Discover the right steps to avoid cross-contamination of materials and metals. And much, much more! More Info http://www.interweave.com/store/metalsmith-essentials-machine-finishing-jewelry Buy a premium to download file with fast speed thanks Rapidgator.net http://rapidgator.net/file/390a123c53b55c083d737a978036d83f/8xo4j.H.D.M.E.M.F.J.part01.rar.html http://rapidgator.net/file/4f0ca04770f2b184733bf646219805b9/8xo4j.H.D.M.E.M.F.J.part02.rar.html http://rapidgator.net/file/42b0e3507bccfadd86a75389cd81cb64/8xo4j.H.D.M.E.M.F.J.part03.rar.html http://rapidgator.net/file/6aecb0267bfd32b1a363d23fd80ee63d/8xo4j.H.D.M.E.M.F.J.part04.rar.html http://rapidgator.net/file/8a22cfbfd5d161b68343965f3df772e7/8xo4j.H.D.M.E.M.F.J.part05.rar.html http://rapidgator.net/file/fb0be0010ebc20887e479c4abc9f52af/8xo4j.H.D.M.E.M.F.J.part06.rar.html http://rapidgator.net/file/29b703db156af31afc92d2ce0ba4b088/8xo4j.H.D.M.E.M.F.J.part07.rar.html http://rapidgator.net/file/004c46ac17bd9854a02b7dc4b95f929e/8xo4j.H.D.M.E.M.F.J.part08.rar.html http://rapidgator.net/file/2de8c088a0341d6ed4be71b4a7c3a433/8xo4j.H.D.M.E.M.F.J.part09.rar.html alfafile.net http://alfafile.net/file/vEDJ/8xo4j.H.D.M.E.M.F.J.part01.rar http://alfafile.net/file/vEDy/8xo4j.H.D.M.E.M.F.J.part02.rar http://alfafile.net/file/vEDE/8xo4j.H.D.M.E.M.F.J.part03.rar http://alfafile.net/file/vEDn/8xo4j.H.D.M.E.M.F.J.part04.rar http://alfafile.net/file/vEDq/8xo4j.H.D.M.E.M.F.J.part05.rar http://alfafile.net/file/vED6/8xo4j.H.D.M.E.M.F.J.part06.rar http://alfafile.net/file/vEDP/8xo4j.H.D.M.E.M.F.J.part07.rar http://alfafile.net/file/vEDp/8xo4j.H.D.M.E.M.F.J.part08.rar http://alfafile.net/file/vED7/8xo4j.H.D.M.E.M.F.J.part09.rar
  6. Helen Driggs - Metalsmith Essentials: Machine Finishing Jewelry 180426 Metalsmith Essentials: Machine Finishing Jewelry .AVI, XviD, 1371 kbps, 720x416 | English, AC3, 192 kbps, 2 Ch | 1 hr 19 mins | 898 MB Instructor: Helen I. Driggs Join artist and experienced metalsmith Helen I. Driggs in 9 watch-and-learn lessons for everything you need to know to complete your jewelry pieces with the quick use of equipment. Finish your jewelry fast . . . with helpful equipment! Perfect your metal jewelry with a comprehensive lesson in machine finishing. Join artist and experienced metalsmith Helen I. Driggs in 9 watch-and-learn lessons for everything you need to know to complete your jewelry pieces with the quick use of equipment. Expand your jewelry-making repertoire with how-tos for finishing metal with a tumbler, Dremel or flex-shaft, polishing arbor, and more-plus discover which technique to use for a variety of different pieces to achieve the look you desire. Enter a new era in your jewelry designs as you: Get expert tips to stay safe and use the equipment properly. Uncover expert advice on what pieces should be tumbled and what should not. Incorporate a variety of finishes onto one piece for intriguing contrast. Achieve a mirror finish on big pieces with the use of the polishing arbor. Learn the variety of benefits and uses a flex-shaft has to offer. Discover the right steps to avoid cross-contamination of materials and metals. And much, much more! More Info http://www.interweave.com/store/metalsmith-essentials-machine-finishing-jewelry Buy a premium to download file with fast speed thanks Rapidgator.net http://rapidgator.net/file/390a123c53b55c083d737a978036d83f/8xo4j.H.D.M.E.M.F.J.part01.rar.html http://rapidgator.net/file/4f0ca04770f2b184733bf646219805b9/8xo4j.H.D.M.E.M.F.J.part02.rar.html http://rapidgator.net/file/42b0e3507bccfadd86a75389cd81cb64/8xo4j.H.D.M.E.M.F.J.part03.rar.html http://rapidgator.net/file/6aecb0267bfd32b1a363d23fd80ee63d/8xo4j.H.D.M.E.M.F.J.part04.rar.html http://rapidgator.net/file/8a22cfbfd5d161b68343965f3df772e7/8xo4j.H.D.M.E.M.F.J.part05.rar.html http://rapidgator.net/file/fb0be0010ebc20887e479c4abc9f52af/8xo4j.H.D.M.E.M.F.J.part06.rar.html http://rapidgator.net/file/29b703db156af31afc92d2ce0ba4b088/8xo4j.H.D.M.E.M.F.J.part07.rar.html http://rapidgator.net/file/004c46ac17bd9854a02b7dc4b95f929e/8xo4j.H.D.M.E.M.F.J.part08.rar.html http://rapidgator.net/file/2de8c088a0341d6ed4be71b4a7c3a433/8xo4j.H.D.M.E.M.F.J.part09.rar.html alfafile.net http://alfafile.net/file/vEDJ/8xo4j.H.D.M.E.M.F.J.part01.rar http://alfafile.net/file/vEDy/8xo4j.H.D.M.E.M.F.J.part02.rar http://alfafile.net/file/vEDE/8xo4j.H.D.M.E.M.F.J.part03.rar http://alfafile.net/file/vEDn/8xo4j.H.D.M.E.M.F.J.part04.rar http://alfafile.net/file/vEDq/8xo4j.H.D.M.E.M.F.J.part05.rar http://alfafile.net/file/vED6/8xo4j.H.D.M.E.M.F.J.part06.rar http://alfafile.net/file/vEDP/8xo4j.H.D.M.E.M.F.J.part07.rar http://alfafile.net/file/vEDp/8xo4j.H.D.M.E.M.F.J.part08.rar http://alfafile.net/file/vED7/8xo4j.H.D.M.E.M.F.J.part09.rar
  7. Machine Learning for Model Order Reduction By Khaled Salah Mohamed English | PDF,EPUB | 2018 | 99 Pages | ISBN : 331975713X | 6.63 MB This Book discusses machine learning for model order reduction, which can be used in modern VLSI design to predict the behavior of an electronic circuit, via mathematical models that predict behavior. The author describes techniques to reduce significantly the time required for simulations involving large-scale ordinary differential equations, which sometimes take several days or even weeks. This method is called model order reduction (MOR), which reduces the complexity of the original large system and generates a reduced-order model (ROM) to represent the original one. Readers will gain in-depth knowledge of machine learning and model order reduction concepts, the tradeoffs involved with using various algorithms, and how to apply the techniques presented to circuit simulations and numerical analysis. Introduces machine learning algorithms at the architecture level and the algorithm levels of abstraction; Describes new, hybrid solutions for model order reduction; Presents machine learning algorithms in depth, but simply; Uses real, industrial applications to verify algorithms. DOWNLOAD (Buy premium account for maximum speed and resuming ability) http://nitroflare.com/view/0E51FBAD371683D/24b4x.M.L.f.M.O.R.rar http://rapidgator.net/file/ae14056dabff595fe4110f2d1cb6e5d4/24b4x.M.L.f.M.O.R.rar.html http://turbobit.net/pk9wrnkx5v36/24b4x.M.L.f.M.O.R.rar.html
  8. Machine Learning with Core ML in iOS 11 MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 2 Hours | 385 MB Genre: eLearning | Language: English Core ML is an exciting new framework that makes running various machine learning and statistical models on macOS and iOS feel natively supported. The framework helps developers integrate already prepared statistical and machine learning models into their apps. You will now be able to create applications that have machine learning functionality built in. Developers want to learn how to use the features inside Core ML to make their applications smarter when explored by users. These videos will show you just how to integrate machine learning into real-world applications. You will design the UI and create a Tap Gesture Recognizer using AVFoundations. You will be importing Python ML Libraries such as TensorFlow, Keras, Scikit-learn into the Spyder IDE, connecting Caffe dependencies, and configuring Caffe. You will convert a Scikit-learn model-the Iris dataset-to a CoreML model in X-code to use it in your apps. You can also search for existing models and convert them into a CoreML model so that you can explore them inside X-code and add the functionality into your apps. You will have the power to build apps that display the intellectual ability to learn from the information provided by these models. Wow! This is powerful. By the end of this course, you will be fluent in the Core ML framework upon completion. The videos will provide the tools needed to get up and running as quickly as possible. Recommend Download Link Hight Speed | Please Say Thanks Keep Topic Live Uploadgig http://uploadgig.com/file/download/bfcFe01f371171C1/3a8yn.Machine.Learning.with.Core.ML.in.iOS.11.rar NitroFlare http://nitroflare.com/view/4D6D0D29EDCAB80/3a8yn.Machine.Learning.with.Core.ML.in.iOS.11.rar Rapidgator http://rapidgator.net/file/0882081f24e2151640b77ed40140f3be/3a8yn.Machine.Learning.with.Core.ML.in.iOS.11.rar.html
  9. Close to the Machine: Technophilia and Its Discontents by Ellen Ullman English | February 28th, 2012 | ASIN: B007FU83DY, ISBN: 0872863379, 1250002486 | 210 Pages | EPUB | 0.28 MB In 1997, the computer was still a relatively new toola sleek and unforgiving machine that was beyond the grasp of most users. With intimate and unflinching detail, software engineer Ellen Ullman examines the strange ecstasy of being at the forefront of the predominantly male technological revolution, and the difficulty of translating the inherent messiness of human life into artful and efficient code. Close to the Machine is an elegant and revelatory mediation on the dawn of the digital era. DOWNLOAD (Buy premium account for maximum speed and resuming ability) http://nitroflare.com/view/347C2B9788BA273/x8t2k.C.t.t.M.T.a.I.D.rar http://rapidgator.net/file/0d6a3a5f029438520e671954bd24bae6/x8t2k.C.t.t.M.T.a.I.D.rar.html http://turbobit.net/b09h3norc10p/x8t2k.C.t.t.M.T.a.I.D.rar.html
  10. Preparing and Exploring Security Data for Machine Learning MP4 | Video: AVC 1920x1080 | Audio: AAC 48KHz 2ch | Duration: 2 Hours | 2.55 GB Genre: eLearning | Language: English arguably the most important field in the IT industry is security. With more and more commerce and business being conducted online every day, keeping data safe and detecting and repelling attacks is paramount to every organization. One area that shows great potential in the battle against hackers and their exploits is machine learning. Unleashing the increasing power and finesse of these systems toward defeating intrusions and data theft is no longer a theoretical pursuit. Indeed, machine learning is being used to defend systems and networks across an increasing range of industries and enterprises, so it's no mystery that there's also an increasing demand for skilled and qualified security specialists who can apply data science techniques to the task of data security. If you're a security engineer, network analyst, or anyone else charged with protecting your organization's valuable IT system and data, this video will show you how to quickly and efficiently ingest a variety of data types typically used in security settings and prepare them for analysis in the Python data science ecosystem. Your host, cyber security specialist and data scientist Charles Givre, teaches the concepts behind vectorized computing as it applies specifically to security. Gathering and preparing data is one of the biggest challenges facing anyone who is seeking to do advanced analysis and machine learning. This video will help you learn how to use the Pandas ecosystem to quickly and effectively gather, prepare, and explore security data for advanced analysis and machine learning. This video is one in a set of three, intended for security professionals who want to learn how to use and apply data science to their toughest security problems. It focuses on the tools and techniques that are directly applicable to the industry, and uses security problems and datasets to walk you through the entire data science process from end-to-end. What you'll learn-and how you can apply it How to use Pandas for security data preparation How to ingest, manipulate, and summarize multidimensional data How to quickly extract, transform, and load (ETL) security data from a variety of sources into the Pandas ecosystem, extract features, and prepare the data for machine learning DOWNLOAD (Buy premium account for maximum speed and resuming ability) http://nitroflare.com/view/75B4F68CC7F54CD/ofkw4.P.a.E.S.D.f.M.L.part1.rar http://nitroflare.com/view/C2038D8B251BFAD/ofkw4.P.a.E.S.D.f.M.L.part2.rar http://nitroflare.com/view/54F6A04CAFC4E2F/ofkw4.P.a.E.S.D.f.M.L.part3.rar http://rapidgator.net/file/3d7e4a14d91b1ae3976e01807bcd8192/ofkw4.P.a.E.S.D.f.M.L.part1.rar.html http://rapidgator.net/file/6e5df1021582c104140b4895270495b7/ofkw4.P.a.E.S.D.f.M.L.part2.rar.html http://rapidgator.net/file/c09afcf722c691fcfb8bff3a210c8529/ofkw4.P.a.E.S.D.f.M.L.part3.rar.html http://turbobit.net/belx92vzz1zc/ofkw4.P.a.E.S.D.f.M.L.part1.rar.html http://turbobit.net/dxxm85a7drw7/ofkw4.P.a.E.S.D.f.M.L.part2.rar.html http://turbobit.net/b4ylskr81npc/ofkw4.P.a.E.S.D.f.M.L.part3.rar.html
  11. Supervised Machine Learning in Security Applications MP4 | Video: AVC 1920x1080 | Audio: AAC 48KHz 2ch | Duration: 2.5 Hours | 4.32 GB Genre: eLearning | Language: English arguably the most important field in the IT industry is security. With more and more commerce and business being conducted online every day, keeping data safe by detecting and repelling attacks is paramount to every organization. One area that shows great potential in the battle against hackers and their exploits is machine learning. Unleashing the increasing power and finesse of these systems toward defeating intrusions and data theft is no longer a theoretical pursuit. Indeed, machine learning is being used to defend systems and networks across an increasing range of industries and enterprises, so it's no mystery that there's also an increasing demand for skilled and qualified security specialists who can apply data science techniques to the task of data security. This video course introduces you to machine learning and explains the concept at the core of machine learning, models, and how you "train" them to perform tasks and solve problems. This video course focuses specifically on "supervised" training, or learning, in a security context. Your host, cyber security specialist and data scientist Charles Givre, provides examples and use cases that use real security data and focus on actual applications of machine learning to security problems rather than contrived or superficial datasets. You will see how to build supervised machine learning models, evaluate and optimize their performance, and then apply these models in a security context. You will examine the theory and implementation behind the supervised machine learning techniques most relevant to security, including random forest, support vector machines, and more. This video course is one in a set of three individual ones intended for security professionals who want to learn how to use and apply data science to their toughest security problems. Mr. Givre focuses on the tools and techniques that are directly applicable to the industry, and uses security problems and datasets to walk you through the entire data science process from end-to-end. DOWNLOAD (Buy premium account for maximum speed and resuming ability) http://nitroflare.com/view/560680D8C6D3E1C/3gl13.S.M.L.i.S.A.part1.rar http://nitroflare.com/view/AF91B6BB26AE281/3gl13.S.M.L.i.S.A.part2.rar http://nitroflare.com/view/974781CCDA4486A/3gl13.S.M.L.i.S.A.part3.rar http://nitroflare.com/view/099268EEBD323F0/3gl13.S.M.L.i.S.A.part4.rar http://nitroflare.com/view/A848E440E19ED46/3gl13.S.M.L.i.S.A.part5.rar http://rapidgator.net/file/8f70cbeb1dec5438046bf7a40cdf2240/3gl13.S.M.L.i.S.A.part1.rar.html http://rapidgator.net/file/cc4aee5c28969bd5b30569c8e895bab0/3gl13.S.M.L.i.S.A.part2.rar.html http://rapidgator.net/file/7dca39a0f29ce8d16c1784db428923fe/3gl13.S.M.L.i.S.A.part3.rar.html http://rapidgator.net/file/a8ba8403183c3a4bd860b0bf3e105126/3gl13.S.M.L.i.S.A.part4.rar.html http://rapidgator.net/file/2e33e14dd76f5f44c957f76bd2b98ff4/3gl13.S.M.L.i.S.A.part5.rar.html http://turbobit.net/ejxwfv8no296/3gl13.S.M.L.i.S.A.part1.rar.html http://turbobit.net/03fo5p63zb4o/3gl13.S.M.L.i.S.A.part2.rar.html http://turbobit.net/3i8o6xbb122x/3gl13.S.M.L.i.S.A.part3.rar.html http://turbobit.net/6236m58rza1d/3gl13.S.M.L.i.S.A.part4.rar.html http://turbobit.net/x4zutev2ylip/3gl13.S.M.L.i.S.A.part5.rar.html
  12. Cyber Security Cryptography and Machine Learning: First International Conference, CSCML 2017, Beer-Sheva, Israel, June 29-30, 2017, Proceedings (Lecture Notes in Computer Science) by Shlomi Dolev English | 3 Jun. 2017 | ISBN: 3319600796 | 320 Pages | PDF | 15.64 MB This book constitutes the proceedings of the first International Symposium on Cyber Security Cryptography and Machine Learning, held in Beer-Sheva, Israel, in June 2017. The 17 full and 4 short papers presented include cyber security; secure software development methodologies, formal methods semantics and verification of secure systems; fault tolerance, reliability, availability of distributed secure systems; game-theoretic approaches to secure computing; automatic recovery of self-stabilizing and self-organizing systems; communication, authentication and identification security; cyber security for mobile and Internet of things; cyber security of corporations; security and privacy for cloud, edge and fog computing; cryptography; cryptographic implementation analysis and construction; secure multi-party computation; privacy-enhancing technologies and anonymity; post-quantum cryptography and security; machine learning and big data; anomaly detection and malware identification; business intelligence and security; digital forensics; digital rights management; trust management and reputation systems; information retrieval, risk analysis, DoS. DOWNLOAD (Buy premium account for maximum speed and resuming ability) http://nitroflare.com/view/46F478B7B81EE57/uy7ps.C.S.C.a.M.L.rar http://rapidgator.net/file/685ba12de3dbf395d87b43e939547497/uy7ps.C.S.C.a.M.L.rar.html http://turbobit.net/mc4cawbacymg/uy7ps.C.S.C.a.M.L.rar.html
  13. Mind and Machine 2017 720p WEB-DL DD5 1 H264-CMRG [-IMDB-] http://www.imdb.com/title/tt4866214/ [-SCREENS-] [-VIDEO INFO-] -2GB Parts| -No CRC| -Links Interchangeable| -No Pass| -Single Extractions| http://rapidgator.net/file/ce0ff2ae420a7fb0174a14356eb778f6/Mind_and_Machine_2017_720p_WEB_DL_DD5_1_H264_CMRG.part1.rar.html http://rapidgator.net/file/25efa0cab5609e3ed4a1036e0e877456/Mind_and_Machine_2017_720p_WEB_DL_DD5_1_H264_CMRG.part2.rar.html http://www.filefactory.com/file/2d2m31vkgzk1/Mind_and_Machine_2017_720p_WEB_DL_DD5_1_H264_CMRG.part1.rar http://www.filefactory.com/file/5xikatwzm98z/Mind_and_Machine_2017_720p_WEB_DL_DD5_1_H264_CMRG.part2.rar
  14. Machine Learning for Model Order Reduction By Khaled Salah Mohamed English | PDF,EPUB | 2018 | 99 Pages | ISBN : 331975713X | 6.63 MB This Book discusses machine learning for model order reduction, which can be used in modern VLSI design to predict the behavior of an electronic circuit, via mathematical models that predict behavior. The author describes techniques to reduce significantly the time required for simulations involving large-scale ordinary differential equations, which sometimes take several days or even weeks. This method is called model order reduction (MOR), which reduces the complexity of the original large system and generates a reduced-order model (ROM) to represent the original one. Readers will gain in-depth knowledge of machine learning and model order reduction concepts, the tradeoffs involved with using various algorithms, and how to apply the techniques presented to circuit simulations and numerical analysis. Introduces machine learning algorithms at the architecture level and the algorithm levels of abstraction; Describes new, hybrid solutions for model order reduction; Presents machine learning algorithms in depth, but simply; Uses real, industrial applications to verify algorithms. DOWNLOAD (Buy premium account for maximum speed and resuming ability) http://nitroflare.com/view/6BFE73ED2DD3EC9/s0chm.M.L.f.M.O.R.rar http://rapidgator.net/file/bab886b924f1ce42b9cf34739c13294d/s0chm.M.L.f.M.O.R.rar.html http://turbobit.net/nw8lp3v3l9yv/s0chm.M.L.f.M.O.R.rar.html
  15. MACHINE LEARNING with MATLAB. SUPERVISED LEARNING and CLASSIFICATION by J. Smith English | 11 Apr. 2017 | ISBN: 1545303509 | 360 Pages | AZW3 | 4.24 MB Machine learning teaches computers to do what comes naturally to humans: learn from experience. Machine learning algorithms use computational methods to "learn" information directly from data without relying on a predetermined equation as a model. The algorithms adaptively improve their performance as the number of samples available for learning increases. Machine learning uses two types of techniques: supervised learning, which trains a model on known input and output data so that it can predict future outputs, and unsupervised learning, which finds hidden patterns or intrinsic structures in input data. The aim of supervised machine learning is to build a model that makes predictions based on evidence in the presence of uncertainty. A supervised learning algorithm takes a known set of input data and known responses to the data (output) and trains a model to generate reasonable predictions for the response to new data. Supervised learning uses classification and regression techniques to develop predictive models. *Classification techniques predict categorical responses, for example, whether an email is genuine or spam, or whether a tumor is cancerous or benign. Classification models classify input data into categories. Typical techniques include Support Vector Machine, Discriminant Analysis, Naive Bayes, Nearest Neighbor, Classification Trees and Neural Networks. *Regression techniques predict continuous responses, for example, changes in temperature or fluctuations in power demand. Typical applications include electricity load forecasting and algorithmic trading. This book develops supervised learning techniques for classification DOWNLOAD (Buy premium account for maximum speed and resuming ability) http://nitroflare.com/view/25889A91040AB13/atn3z.MACHINE.LEARNING.w.MATLAB.SUPERVISED.LEARNING.a.CLASSIFICATION.rar http://rapidgator.net/file/4a9d047ecaaa0248921903f51a0f4f05/atn3z.MACHINE.LEARNING.w.MATLAB.SUPERVISED.LEARNING.a.CLASSIFICATION.rar.html http://turbobit.net/zwvyvu1gows8/atn3z.MACHINE.LEARNING.w.MATLAB.SUPERVISED.LEARNING.a.CLASSIFICATION.rar.html
  16. Image Quality Assessment of Computer-generated Images: Based on Machine Learning and Soft Computing By Andre Bigand English | PDF,EPUB | 2018 | 96 Pages | ISBN : 331973542X | 8.17 MB Image Quality Assessment is well-known for measuring the perceived image degradation of natural scene images but is still an emerging topic for computer-generated images. This book addresses this problem and presents recent advances based on soft computing. It is aimed at students, practitioners and researchers in the field of image processing and related areas such as computer graphics and visualization. DOWNLOAD (Buy premium account for maximum speed and resuming ability) http://nitroflare.com/view/958998A15A1BAA6/egcre.I.Q.A.o.C.I.B.o.M.L.a.S.C.rar http://rapidgator.net/file/d4d2cbeb012f97adbabb79d09c52a01a/egcre.I.Q.A.o.C.I.B.o.M.L.a.S.C.rar.html http://turbobit.net/v1rlqqn6g7pv/egcre.I.Q.A.o.C.I.B.o.M.L.a.S.C.rar.html
  17. How to Become A Data Scientist Using Azure Machine Learning MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 1 Hours | Lec: 39 | 194 MB Genre: eLearning | Language: English Yes, Big Data is on everyone's lips but what happens after that big data is ingested into a data lake? The answer is predictive analytics. Because we live in the big data era, machine learning has become much more popular in the last few years. Having lots of data to work with in many different areas lets the techniques of machine learning be applied to a broader set of problems. Data can hold secrets, especially if you have lots of it. With lots of data about something, you can examine that data in intelligent ways to find patterns. This is exactly what machine learning does: It examines large amounts of data looking for patterns, then generates code that lets you recognize those patterns in new data. Your applications can use this generated code to make better predictions. In other words, machine learning can help you create smarter applications. Azure Machine Learning (Azure ML) is a cloud service that helps people execute the machine learning process. As its name suggests, it runs on Microsoft Azure, a public cloud platform. Because of this, Azure ML can work with very large amounts of data and be accessed from anywhere in the world. Using it requires just a web browser and an internet connection. In this course you will be learning and building predictive algorithms using Azure Machine Learning Studio. At the end of this course you'll be able to build and evaluate a binary classification predictive model without authoring a single line of code You'll build an Experiment for a targeted email campaigned and be able to tell what customers should receive flyers and those that shouldn't. Thanks for reading about Azure Machine Learning Studio and I'll see you in the course. DOWNLOAD (Buy premium account for maximum speed and resuming ability) http://nitroflare.com/view/E27D21072B4D085/8sxvi.H.t.B.A.D.S.U.A.M.L.rar http://rapidgator.net/file/9eb7694b3a6f141ca680a1aabf98ad1f/8sxvi.H.t.B.A.D.S.U.A.M.L.rar.html http://turbobit.net/x4cueca7hlt4/8sxvi.H.t.B.A.D.S.U.A.M.L.rar.html
  18. Monthly Cash Machine: Powerful Strategies for Selling Options in Bull and Bear Markets by Matthew R. Kratter English | 23 Apr. 2016 | ASIN: B01EPJC2T8 | 48 Pages | AZW3 | 677.66 KB Looking for some extra monthly income? Tired of living from paycheck to paycheck? Sitting in cash, scared to buy stocks, but sick of savings accounts that pay next to nothing? Then you are ready for a "Monthly Cash Machine." Learn to harness the power of options to turn every Friday into a payday. Even if you know nothing at all about trading options, this guide will quickly bring you up to speed, with step-by-step instructions and extensive examples. Amazon best-selling author, Matthew Kratter will teach you options strategies that anyone can use to generate monthly income. You will learn: Trading strategies that work in bull and bear markets Insider tricks used by professional traders Why option sellers have a huge advantage over option buyers High probability winning trading strategies How to make money using iron condors, spreads, and other strategies Join the thousands of smart traders who have come over to the "selling side." Now is the time to get started making money the easy way. And if you ever get stuck, you can always reach out to me by email (provided inside of the book), and I will help you. Get started today: Scroll back up to the top of this page and select the "Buy Now" button. DOWNLOAD (Buy premium account for maximum speed and resuming ability) http://nitroflare.com/view/0C194B7E042AAF1/gc8bo.M.C.M.P.S.f.S.O.i.B.a.B.M.rar http://rapidgator.net/file/3395bca31e7daf8e041c9b02d408c395/gc8bo.M.C.M.P.S.f.S.O.i.B.a.B.M.rar.html http://turbobit.net/7ct5651e3a56/gc8bo.M.C.M.P.S.f.S.O.i.B.a.B.M.rar.html
  19. Machine Learning for Text By Charu C. Aggarwal English | PDF,EPUB | 2018 | 510 Pages | ISBN : 3319735306 | 15.08 MB Text analytics is a field that lies on the interface of information retrieval, machine learning, and natural language processing. This book carefully covers a coherently organized framework drawn from these intersecting topics. The chapters of this book span three broad categories: 1. Basic algorithms: Chapters 1 through 8 discuss the classical algorithms for text analytics such as preprocessing, similarity computation, topic modeling, matrix factorization, clustering, classification, regression, and ensemble analysis. 2. Domain-sensitive learning: Chapters 8 and 9 discuss learning models in heterogeneous settings such as a combination of text with multimedia or Web links. The problem of information retrieval and Web search is also discussed in the context of its relationship with ranking and machine learning methods. 3. Sequence-centric mining: Chapters 10 through 14 discuss various sequence-centric and natural language applications, such as feature engineering, neural language models, deep learning, text summarization, information extraction, opinion mining, text segmentation, and event detection. This book covers text analytics and machine learning topics from the simple to the advanced. Since the coverage is extensive, multiple courses can be offered from the same book, depending on course level. DOWNLOAD (Buy premium account for maximum speed and resuming ability) http://nitroflare.com/view/E1BAD086145761A/rut72.M.L.f.T.rar http://rapidgator.net/file/9db7bf9704c8f210277673a678a3791e/rut72.M.L.f.T.rar.html http://turbobit.net/gd0cfodwjdlp/rut72.M.L.f.T.rar.html
  20. Machine Learning for Health Informatics: State-of-the-Art and Future Challenges (Lecture Notes in Computer Science) by Andreas Holzinger English | 10 Dec. 2016 | ISBN: 3319504770 | 504 Pages | PDF | 27.7 MB Machine learning (ML) is the fastest growing field in computer science, and Health Informatics (HI) is amongst the greatest application challenges, providing future benefits in improved medical diagnoses, disease analyses, and pharmaceutical development. However, successful ML for HI needs a concerted effort, fostering integrative research between experts ranging from diverse disciplines from data science to visualization. Tackling complex challenges needs both disciplinary excellence and cross-disciplinary networking without any boundaries. Following the HCI-KDD approach, in combining the best of two worlds, it is aimed to support human intelligence with machine intelligence. This state-of-the-art survey is an output of the international HCI-KDD expert network and features 22 carefully selected and peer-reviewed chapters on hot topics in machine learning for health informatics; they discuss open problems and future challenges in order to stimulate further research and international progress in this field. DOWNLOAD (Buy premium account for maximum speed and resuming ability) http://nitroflare.com/view/D471928EDD9482F/75wjy.M.L.f.H.I.SA.a.F.C.L.N.i.C.S.rar http://rapidgator.net/file/c1c3d2906cf5419380094f778df4e233/75wjy.M.L.f.H.I.SA.a.F.C.L.N.i.C.S.rar.html http://turbobit.net/zy0wal0rx33y/75wjy.M.L.f.H.I.SA.a.F.C.L.N.i.C.S.rar.html
  21. Image Quality Assessment of Computer-generated Images: Based on Machine Learning and Soft Computing By Andre Bigand English | PDF,EPUB | 2018 | 96 Pages | ISBN : 331973542X | 8.17 MB Image Quality Assessment is well-known for measuring the perceived image degradation of natural scene images but is still an emerging topic for computer-generated images. This book addresses this problem and presents recent advances based on soft computing. It is aimed at students, practitioners and researchers in the field of image processing and related areas such as computer graphics and visualization. In this book, we first clarify the differences between natural scene images and computer-generated images, and address the problem of Image Quality Assessment (IQA) by focusing on the visual perception of noise. Rather than using known perceptual models, we first investigate the use of soft computing approaches, classically used in Artificial Intelligence, as full-reference and reduced-reference metrics. Thus, by creating Learning Machines, such as SVMs and RVMs, we can assess the perceptual quality of a computer-generated image. We also investigate the use of interval-valued fuzzy sets as a no-reference metric. These approaches are treated both theoretically and practically, for the complete process of IQA. The learning step is performed using a database built from experiments with human users and the resulting models can be used for any image computed with a stochastic rendering algorithm. This can be useful for detecting the visual convergence of the different parts of an image during the rendering process, and thus to optimize the computation. These models can also be extended to other applications that handle complex models, in the fields of signal processing and image processing. DOWNLOAD (Buy premium account for maximum speed and resuming ability) http://nitroflare.com/view/EF11336F53DE86B/8tyf6.I.Q.A.o.C.I.B.o.M.L.a.S.C.rar http://rapidgator.net/file/f3467fc4ac2294649d6f055c6801b13d/8tyf6.I.Q.A.o.C.I.B.o.M.L.a.S.C.rar.html http://turbobit.net/xhna9mtyarsy/8tyf6.I.Q.A.o.C.I.B.o.M.L.a.S.C.rar.html
  22. Unsupervised Machine Learning in Security Applications MP4 | Video: AVC 1920x1080 | Audio: AAC 48KHz 2ch | Duration: 1 Hour | 1.49 GB Genre: eLearning | Language: English Today, arguably the most important field in the IT industry is security. With more and more commerce and business being conducted online every day, keeping data safe by detecting and repelling attacks is paramount to every organization. One area that shows great potential in the battle against hackers and their exploits is machine learning. Unleashing the increasing power and finesse of these systems toward defeating intrusions and data theft is no longer a theoretical pursuit. Indeed, machine learning is being used to defend systems and networks across an increasing range of industries and enterprises, so it's no mystery that there's also an increasing demand for skilled and qualified security specialists who can apply data science techniques to the task of data security. This video course introduces you to the concept "unsupervised" model training, or learning, in a security context. Your host, cyber security specialist and data scientist Charles Givre, explains the theory behind commonly used clustering algorithms such as K-means and DBSCAN as well as the direct application to security problems such as anomaly detection. You'll see how to pipeline your models into a production environment using the Python scikit-learning library. You'll also learn how to calculate metrics to assess your models' performance, and how to use Yellowbrick to create visualizations of those performance evaluations. This video course is one in a set of three individual ones intended for security professionals who want to learn how to use and apply data science to their toughest security problems. Mr. Givre focuses on the tools and techniques that are directly applicable to the industry, and uses security problems and datasets to walk you through the entire data science process from end-to-end. Recommend Download Link Hight Speed | Please Say Thanks Keep Topic Live Uploadgig http://uploadgig.com/file/download/20Aa5dccBaad22d3/aai24.Unsupervised.Machine.Learning.in.Security.Applications.rar NitroFlare http://nitroflare.com/view/C768AAD8791F96C/aai24.Unsupervised.Machine.Learning.in.Security.Applications.rar Rapidgator http://rapidgator.net/file/e6dfac0e0c93b726d518a775f061b6ee/aai24.Unsupervised.Machine.Learning.in.Security.Applications.rar.html
  23. Supervised Machine Learning in Security Applications MP4 | Video: AVC 1920x1080 | Audio: AAC 48KHz 2ch | Duration: 2.5 Hours | 4.32 GB Genre: eLearning | Language: English Today, arguably the most important field in the IT industry is security. With more and more commerce and business being conducted online every day, keeping data safe by detecting and repelling attacks is paramount to every organization. One area that shows great potential in the battle against hackers and their exploits is machine learning. Unleashing the increasing power and finesse of these systems toward defeating intrusions and data theft is no longer a theoretical pursuit. Indeed, machine learning is being used to defend systems and networks across an increasing range of industries and enterprises, so it's no mystery that there's also an increasing demand for skilled and qualified security specialists who can apply data science techniques to the task of data security. This video course introduces you to machine learning and explains the concept at the core of machine learning, models, and how you "train" them to perform tasks and solve problems. This video course focuses specifically on "supervised" training, or learning, in a security context. Your host, cyber security specialist and data scientist Charles Givre, provides examples and use cases that use real security data and focus on actual applications of machine learning to security problems rather than contrived or superficial datasets. You will see how to build supervised machine learning models, evaluate and optimize their performance, and then apply these models in a security context. You will examine the theory and implementation behind the supervised machine learning techniques most relevant to security, including random forest, support vector machines, and more. This video course is one in a set of three individual ones intended for security professionals who want to learn how to use and apply data science to their toughest security problems. Mr. Givre focuses on the tools and techniques that are directly applicable to the industry, and uses security problems and datasets to walk you through the entire data science process from end-to-end. Recommend Download Link Hight Speed | Please Say Thanks Keep Topic Live Uploadgig http://uploadgig.com/file/download/8e7e042bdD60d2e8/veuz7.Supervised.Machine.Learning.in.Security.Applications.part1.rar http://uploadgig.com/file/download/8EfDe384c2a03d0d/veuz7.Supervised.Machine.Learning.in.Security.Applications.part2.rar http://uploadgig.com/file/download/cba57c888Dd38484/veuz7.Supervised.Machine.Learning.in.Security.Applications.part3.rar NitroFlare http://nitroflare.com/view/C8820F4559CF29B/veuz7.Supervised.Machine.Learning.in.Security.Applications.part1.rar http://nitroflare.com/view/3CE660049902E7F/veuz7.Supervised.Machine.Learning.in.Security.Applications.part2.rar http://nitroflare.com/view/4570810FAF8CC6C/veuz7.Supervised.Machine.Learning.in.Security.Applications.part3.rar Rapidgator http://rapidgator.net/file/76ebe87831f4723c5acbb6432912588d/veuz7.Supervised.Machine.Learning.in.Security.Applications.part1.rar.html http://rapidgator.net/file/63787f39639f11b66a9d3f36d138280b/veuz7.Supervised.Machine.Learning.in.Security.Applications.part2.rar.html http://rapidgator.net/file/351cdee3c98c6182ef8925ff0adbe790/veuz7.Supervised.Machine.Learning.in.Security.Applications.part3.rar.html
  24. Preparing and Exploring Security Data for Machine Learning MP4 | Video: AVC 1920x1080 | Audio: AAC 48KHz 2ch | Duration: 2 Hours | 2.55 GB Genre: eLearning | Language: English Today, arguably the most important field in the IT industry is security. With more and more commerce and business being conducted online every day, keeping data safe and detecting and repelling attacks is paramount to every organization. One area that shows great potential in the battle against hackers and their exploits is machine learning. Unleashing the increasing power and finesse of these systems toward defeating intrusions and data theft is no longer a theoretical pursuit. Indeed, machine learning is being used to defend systems and networks across an increasing range of industries and enterprises, so it's no mystery that there's also an increasing demand for skilled and qualified security specialists who can apply data science techniques to the task of data security. If you're a security engineer, network analyst, or anyone else charged with protecting your organization's valuable IT system and data, this video will show you how to quickly and efficiently ingest a variety of data types typically used in security settings and prepare them for analysis in the Python data science ecosystem. Your host, cyber security specialist and data scientist Charles Givre, teaches the concepts behind vectorized computing as it applies specifically to security. Gathering and preparing data is one of the biggest challenges facing anyone who is seeking to do advanced analysis and machine learning. This video will help you learn how to use the Pandas ecosystem to quickly and effectively gather, prepare, and explore security data for advanced analysis and machine learning. This video is one in a set of three, intended for security professionals who want to learn how to use and apply data science to their toughest security problems. It focuses on the tools and techniques that are directly applicable to the industry, and uses security problems and datasets to walk you through the entire data science process from end-to-end. What you'll learn-and how you can apply it How to use Pandas for security data preparation How to ingest, manipulate, and summarize multidimensional data How to quickly extract, transform, and load (ETL) security data from a variety of sources into the Pandas ecosystem, extract features, and prepare the data for machine learning Recommend Download Link Hight Speed | Please Say Thanks Keep Topic Live Uploadgig http://uploadgig.com/file/download/34fF8673418c9F50/axx2q.Preparing.and.Exploring.Security.Data.for.Machine.Learning.part1.rar http://uploadgig.com/file/download/2d24D14A110f138e/axx2q.Preparing.and.Exploring.Security.Data.for.Machine.Learning.part2.rar NitroFlare http://nitroflare.com/view/AEABA292247D3D3/axx2q.Preparing.and.Exploring.Security.Data.for.Machine.Learning.part1.rar http://nitroflare.com/view/C53ED30DC0C0947/axx2q.Preparing.and.Exploring.Security.Data.for.Machine.Learning.part2.rar Rapidgator http://rapidgator.net/file/260640e17acab090b11e524062665ac1/axx2q.Preparing.and.Exploring.Security.Data.for.Machine.Learning.part1.rar.html http://rapidgator.net/file/d9dbdc6eadd00bd0643a2015cfa3d12a/axx2q.Preparing.and.Exploring.Security.Data.for.Machine.Learning.part2.rar.html
  25. Advanced Data Analytics Using Python: With Machine Learning, Deep Learning and NLP Examples By Sayan Mukhopadhyay English | PDF,EPUB | 2018 | 195 Pages | ISBN : 1484234499 | 2.9 MB Gain a broad foundation of advanced data analytics concepts and discover the recent revolution in databases such as Neo4j, Elasticsearch, and MongoDB. This book discusses how to implement ETL techniques including topical crawling, which is applied in domains such as high-frequency algorithmic trading and goal-oriented dialog systems. You'll also see examples of machine learning concepts such as semi-supervised learning, deep learning, and NLP. Advanced Data Analytics Using Python also covers important traditional data analysis techniques such as time series and principal component analysis. Gain a broad foundation of advanced data analytics concepts and discover the recent revolution in databases such as Neo4j, Elasticsearch, and MongoDB. This book discusses how to implement ETL techniques including topical crawling, which is applied in domains such as high-frequency algorithmic trading and goal-oriented dialog systems. You'll also see examples of machine learning concepts such as semi-supervised learning, deep learning, and NLP. Advanced Data Analytics Using Python also covers important traditional data analysis techniques such as time series and principal component analysis. After reading this book you will have experience of every technical aspect of an analytics project. You'll get to know the concepts using Python code, giving you samples to use in your own projects. Work with data analysis techniques such as classification, clustering, regression, and forecasting Handle structured and unstructured data, ETL techniques, and different kinds of databases such as Neo4j, Elasticsearch, MongoDB, and MySQL Examine the different big data frameworks, including Hadoop and Spark Discover advanced machine learning concepts such as semi-supervised learning, deep learning, and NLP Data scientists and software developers interested in the field of data analytics. DOWNLOAD (Buy premium account for maximum speed and resuming ability) http://nitroflare.com/view/94A9A596987415E/tm7a3.A.D.A.U.P.W.M.L.D.L.a.NLP.E.rar http://rapidgator.net/file/29c233d4b007ac0bce609a8773d5aeef/tm7a3.A.D.A.U.P.W.M.L.D.L.a.NLP.E.rar.html http://turbobit.net/pjbxlw5onaqz/tm7a3.A.D.A.U.P.W.M.L.D.L.a.NLP.E.rar.html